Matthew J. Hirn

Materials Chemistry · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew J. Hirn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stéphane Mallat
  2. A. P. Bart'ok
  3. Matthias Rupp 
  4. Joan Bruna
  5. Laurent Sifre
  6. Gábor Csányi
  7. Alex Krizhevsky
  8. Risi Kondor
  9. Katja Hansen
  10. Geoffrey E. Hinton

Who trusts Matthew J. Hirn overall

  1. Michael Eickenberg
  2. Stéphane Mallat
  3. Risi Kondor
  4. Kristof T. Schütt
  5. Georgios Exarchakis
  6. Alexander V. Shapeev
  7. Brandon M. Anderson
  8. Maizar Raissi
  9. Ameya Dilip Jagtap
  10. Truong Son Hy

Papers from Matthew J. Hirn's perspective

Ordered by how strongly the researchers Matthew J. Hirn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers